Senior Back-End / Platform Engineer

AMERICAN SYSTEMS
Alexandria, VA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$135,000.0
Working hours
Regular working hours

Tech stack

Microsoft Windows Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Data as a Services Data Integrity Extract Transform Load (ETL)
+44 more
Decision Support Systems Django Web Framework Information Extraction JSON Python (Programming Language) PostgreSQL Microsoft Office MongoDB MySQL Natural Language Processing OAuth OpenID Query Optimization RabbitMQ Microsoft SharePoint Data Streaming Systems Integration Management of Software Versions Extensible Markup Language (XML) Openapi Data Ingestion Retrieval-Augmented Generation System Availability Flask (Web Framework) Software Security Change Data Capture Indexer Backend Fastapi Event Driven Architecture Gitlab-ci Kubernetes Apache Kafka Graphql Data Management Database Replication Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Domain Driven Design Serverless Computing Docker Web Api Microservices

Job description

Design, build, migrate, and sustain DTE&A Data Management Platform (DDMP) secure domain services, data-access layer, integration APIs, workflow automation, and AI-enabled back-end capabilities., * Lead the modernization of existing DDMP Python/Flask services and legacy MySQL/MongoDB data into secure, scalable cloud-native services.

  • Design and implement business APIs for assessments, evaluation, findings, recommendations, reconciliation threads, reports, artifacts, and approval history.
  • Build secure, observable integrations with enterprise data sources, program-management systems, SharePoint, telemetry streams, and analytics platforms.
  • Develop data-ingestion, transformation, validation, and reconciliation services that preserve data integrity and provenance.
  • Implement workflow automation and AI-assisted capabilities while ensuring analysts remain the accountable authority for official findings and scores.
  • Establish API standards, coding standards, data-quality controls, service-level objectives, and technical documentation.
  • Partner with security and cloud engineering staff to remediate vulnerabilities, implement secure configurations, and generate ATO evidence.

Requirements

  • BS, TS/SCI eligible with 11+ years of professional back-end software engineering experience, including 3+ years delivering cloud-native, distributed, or microservices-based applications.
  • AWS Certified Developer, Microsoft Azure Developer Associate, Google Professional Cloud Developer, or comparable CSP credential.
  • Certified Kubernetes Application Developer (CKAD) or equivalent practical Kubernetes expertise.
  • Security+ or equivalent certification.
  • Expert-level Python experience, including modern API and service frameworks such as FastAPI, Flask, Django, or equivalent.
  • Experience decomposing a monolithic Flask application into modular services without disrupting active users or data integrity.
  • Experience designing domain-driven systems and workflow engines for complex, auditable business processes.
  • Knowledge of API gateway patterns, API versioning, throttling, idempotency, OpenAPI specifications, OAuth/OIDC token validation, and service-to-service authentication.
  • Experience with Change Data Capture (CDC), database replication, data quality controls, lineage, and data reconciliation.
  • Experience integrating with Microsoft 365/SharePoint Online through Microsoft Graph while maintaining SharePoint as the authoritative artifact repository.
  • Experience implementing retrieval-augmented generation, document extraction, NLP workflows, model-evaluation controls, and human-in-the-loop AI decision support.
  • Familiarity with DoW data platforms, secure cross-boundary integrations, and auditability requirements.
  • Deep experience designing and implementing REST APIs; practical GraphQL experience strongly preferred.
  • Strong relational-data expertise, especially PostgreSQL: data modeling, schema evolution, migrations, query optimization, indexing, transactions, high availability, backup/restore, and replication.
  • Experience migrating legacy data platforms, preferably MySQL and MongoDB to PostgreSQL and/or managed cloud data services, with validation, reconciliation, rollback, and minimal-downtime approaches.
  • Experience with event-driven architecture, asynchronous processing, queues, and streaming platforms such as Kafka, Kinesis, RabbitMQ, SQS, or equivalent.
  • Experience building ETL/ELT, data-ingestion, document-processing, and API-integration pipelines for structured and unstructured content, including JSON, XML, CSV, PDF, and Office documents.
  • Strong expertise in automated testing: unit, integration, contract, regression, performance, and API security testing.
  • Experience packaging applications with Docker and deploying to Kubernetes or a managed container platform.
  • Proficiency with Git-based development and CI/CD pipelines, ideally GitLab CI/CD in a DoW enterprise environment.

Pay Transparency Statement

Benefits & conditions

AMERICAN SYSTEMS is committed to pay transparency for our applicants and employee-owners. The salary range for this position is USD $135,000.00/Yr. - USD $165,000/Yr. Actual compensation will be determined based on several factors permitted by law. AMERICAN SYSTEMS provides for the welfare of its employees and their dependents through a comprehensive benefits program by offering healthcare benefits, paid leave, retirement plans, insurance programs, and education and training assistance.

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